Primus Global Technologies Associate Talent Acquisition Interview Questions and Answers

p value is a statistical measure that helps determine the significance of a hypothesis test.

• p value is the probability of obtaining a result as extreme or more extreme than the observed result, assuming the null hypothesis is true.

• A p value of less than 0.05 is considered statistically significant.

• Spacy is an open-source software library for advanced natural language processing (NLP).

• NLP is a field of study that focuse...read more

Lambda function is an anonymous function in Python that can take any number of arguments and can only have one expression.

• Lambda functions are defined using the keyword 'lambda'.

• They are commonly used with built-in functions like filter(), map(), and reduce().

• Lambda functions can be used to create small, throwaway functions that are not needed elsewhere in the code.

• They are often used to write more concise and readable...read more

Use techniques like regularization, feature selection, cross-validation, and data augmentation.

• Utilize regularization techniques like Lasso or Ridge regression to prevent overfitting.

• Perform feature selection to focus on the most important variables and reduce noise.

• Use cross-validation to assess model performance and generalizability.

• Consider data augmentation techniques like synthetic data generation or bootstrapping...read more

I will lead by setting clear goals, providing guidance, fostering collaboration, and recognizing team achievements.

• Set clear goals and expectations for the team

• Provide guidance and support to team members

• Foster collaboration and communication within the team

• Recognize and reward team achievements

• Lead by example and demonstrate strong work ethic

Attention focuses on specific parts of input data, while self attention considers relationships within the input data itself.

• Attention is used in models like seq2seq for machine translation to focus on relevant parts of the input sequence.

• Self attention is used in transformer models to capture dependencies between different words in a sentence.

• Attention mechanisms can be either global or local, while self attention is

Handling null values is crucial for data integrity and analysis.

• Identify null values in the dataset using functions like isnull() or isna()

• Decide on the best strategy to handle null values - imputation, deletion, or flagging

• Impute missing values using mean, median, mode, or predictive modeling techniques

• Delete rows or columns with a high percentage of missing values if they cannot be imputed

• Flag null values to distingu

Handling imbalanced training data is crucial for model performance and accuracy.

• Use techniques like oversampling, undersampling, or SMOTE to balance the dataset

• Utilize algorithms that are robust to imbalanced data, such as Random Forest or XGBoost

• Consider using ensemble methods or cost-sensitive learning to address class imbalance

Text embeddings are numerical representations of text data that capture semantic meaning.

• Text embeddings convert words or sentences into numerical vectors.

• They are used in natural language processing tasks like sentiment analysis, text classification, and machine translation.

• Popular techniques for generating text embeddings include Word2Vec, GloVe, and BERT.

BERT is a bidirectional transformer model for pre-training language representations, while GPT is a generative model.

• BERT is a pre-training model that learns contextual representations of words by considering both left and right context.

• GPT is a generative model that uses a transformer decoder to generate text based on the context.

• BERT is bidirectional, meaning it can understand the context of a word by looking at both...read more